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Sample GSM4929048 Query DataSets for GSM4929048
Status Public on Nov 24, 2020
Title Australian AD S57
Sample type RNA
 
Source name prefrontal cortex
Organism Homo sapiens
Characteristics tissue: prefrontal cortex
diagnosis: Alcohol
age: 50
Sex: Male
rin: 3.6
brain weight: 1420
ph: 6.59
pmi: 24
hemisphere: 0
neuropathology: 1
hepatology: 1
toxicology: 1
smoking: 1
Extracted molecule total RNA
Extraction protocol Total RNA containing the small RNA fraction was isolated from 100mg fresh frozen tissue from the prefrontal cortex (PFC) using the mirVana-PARIS kit (Life Technologies, Carlsbad, CA) following manufacturer's protocols. RNA concentration was measured using the Quant-iT Broad Range RNA Assay kit (Life Technologies) and the RNA Integrity Number (RIN) was measured on the Agilent 2100 Bioanalyzer (Agilent Technologies, Inc., Santa Clara, CA).
Label biotin
Label protocol Starting from 300ng of total RNA, cDNA synthesis and cRNA labelling were performed using the GeneChip 3' IVT Express Kit (Affymetrix).
 
Hybridization protocol Ten µg of fragmented cRNA were hybridized on the Affymetrix GeneChip Human Genome U133A 2.0 (HG-U133A 2.0).
Scan protocol Each array was scanned on the Affymetrix GeneChip Scanner 3000 7G (Affymetrix) and raw probe intensities stored in .CEL files by the GeneChip Operating Software (GCOS v1.4).
Data processing Array quality was assessed by monitoring the ratios of GAPDH and by the percentage of Present genes (%P) and array exhibiting GAPDH 3 and %P > 40% were considered of good quality. Expression values were calculated following the pre-processing procedure: 1) GCRMA background correction, 2) log2 transformation, 3) quantile normalization and 4) median-polish probeset summarization using Partek Genomics Suite (PGS) v6.23 (PGS; Partek Inc., St. Louis, MO). The batch effect removal option in PGS was used to control for batch effect. mRNA and miRNA microarray quality was further assessed using a principal components analysis (PCA) which was conducted on the expression values for both array types in which samples were plotted along the first three principle components (PCs) to identify potential microarray outliers.
 
Submission date Nov 23, 2020
Last update date Nov 24, 2020
Contact name Eric Vornholt
E-mail(s) eric.vornholt@mssm.edu
Phone 15205487115
Organization name Icahn School of Medicine
Street address 800 E. Leigh St. Box 980126
City New York
State/province NY
ZIP/Postal code 10029
Country USA
 
Platform ID GPL571
Series (2)
GSE161986 Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC [mRNA]
GSE161999 Network preservation reveals shared and unique biological processes associated with chronic alcohol abuse in the NAc and PFC

Data table header descriptions
ID_REF
VALUE Log2 transformed normalized expression

Data table
ID_REF VALUE
1007_s_at 9.07525
1053_at 7.92924
117_at 5.09551
121_at 6.72936
1255_g_at 5.58634
1294_at 6.25408
1316_at 8.28152
1320_at 4.97052
1405_i_at 4.78306
1431_at 4.6082
1438_at 5.30279
1487_at 7.60227
1494_f_at 5.22814
1598_g_at 8.52359
160020_at 7.26434
1729_at 7.07022
1773_at 5.33745
177_at 5.07001
179_at 7.2364
1861_at 8.98793

Total number of rows: 22215

Table truncated, full table size 407 Kbytes.




Supplementary file Size Download File type/resource
GSM4929048_VV136.CEL.gz 3.3 Mb (ftp)(http) CEL
Processed data included within Sample table

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